# South America Applied Ai In Agriculture Market > South America Applied AI in Agriculture Market Research Report By Technology (Machine Learning, Computer Vision, Predictive Analytics), By Offering (Software, AI-as-a-Service), By Application (Drone Analytics, Precision Farming), and By Regional (Brazil, Mexico, Argentina, Rest of South America)-Forecast to 2035 - **Forecast Period:** 2025 - 2035 - **CAGR:** 4.92% - **2024:** $ 128.55 Million - **2025:** $ 134.88 Million - **2035:** $ 217.95 Million - **Key Players:** Bayer (DE), Corteva Agriscience (US), Syngenta (CH), John Deere (US), AG Leader Technology (US), Trimble (US), Taranis (IL), Farmers Edge (CA), Aker Solutions (NO) **Report ID:** MRFR/ICT/60449-HCR · **Pages:** 200 · **Author:** Nirmit Biswas & Aarti Dhapte · **Last Updated:** February 06, 2026 **URL:** https://www.marketresearchfuture.com/reports/south-america-applied-ai-in-agriculture-market-62285 --- ## Market Summary ## **South America Applied****AI****in Agriculture Market Overview** As per MRFR analysis, the South America Applied AI in Agriculture Market Size was estimated at 194 (USD Million) in 2023.The South America Applied AI in Agriculture Market is expected to grow from 251(USD Million) in 2024 to 4,349 (USD Million) by 2035. The South America Applied AI in Agriculture Market CAGR (growth rate) is expected to be around 29.602% during the forecast period (2025 - 2035). **Key South America Applied****AI****in Agriculture Market Trends Highlighted** The growing need to improve agricultural sustainability and production is driving notable industry developments in the South American applied AI in agriculture market. The increasing use of precision farming methods is one of the main factors propelling the market. Drones and sensors are two examples of AI-driven technologies that farmers are increasingly using to track weather patterns, soil conditions, and crop health. With the help of these tools, farmers can make well-informed decisions that maximize resource utilization and progressively increase yields. Furthermore, the growing government programs in nations like Argentina and Brazil to modernize agriculture and enhance food security are driving the use of AI in this field. This market offers a plethora of chances to investigate. The growth of agro-tech companies in South America demonstrates the potential for innovation in AI applications like automated planting and harvesting equipment and predictive analytics for crop management. Furthermore, solutions that use AI to reduce pesticide use and improve crop resistance to climate change are becoming increasingly popular as environmental concerns grow. These solutions are in line with the region's countries' commitment to promoting sustainable agriculture practices. AI integration with other digital technologies, such as blockchain and the Internet of Things (IoT), has been increasingly popular in agriculture in recent years. Better data exchange, transparency, and traceability across the supply chain are guaranteed by this connection. Furthermore, collaborations between tech firms and agricultural organizations are become more frequent, which promotes technical breakthroughs and knowledge sharing. All things considered, the South American agricultural sector's strong emphasis on innovation and sustainability creates a favorable atmosphere for the development and use of AI technology in agriculture. Source: Primary Research, Secondary Research, _Market Research Future_ Database and Analyst Review **South America Applied****AI****in Agriculture Market Drivers** **Rising Demand for Efficient Agricultural Practices** The agricultural sector in South America is currently facing significant pressures to increase productivity while also minimizing environmental impact. With a growing population and rising food needs, there is a surge in demand for innovative solutions that can enhance farm productivity. According to the Food and Agriculture Organization, by 2050, the global population is expected to reach 9.7 billion, with South America needing to contribute significantly to this agricultural output. Established organizations like the Brazilian Agricultural Research Corporation (Embrapa) are already leading initiatives integrating Artificial Intelligence with traditional farming techniques, aiming to foster sustainable practices. Projects funded by the government have emphasized the importance of applying advanced technologies to boost crop yields by as much as 30%. This move is supported by various national agriculture policies which are focused on innovation. The South America Applied AI in Agriculture Market stands to benefit from this drive for efficiency. **Government Initiatives and Subsidies** Government support for modern agricultural practices in South America through subsidies and initiatives is a prominent driver for the growth of the South America Applied AI in Agriculture Market. For instance, various nations in the region are implementing policies that encourage the adoption of technology in farming, such as Brazil’s National Rural Credit System which facilitates financing for innovative technologies. In Argentina, the Ministry of Agriculture has included provisions in their Agricultural Data Law that stimulate the use of AI technologies for precision farming. These government-backed incentives aim to make it easier for farmers to access AI tools, thereby spurring growth in the market. The active role of governments in supporting technology adoption signifies a robust growth potential for AI applications in agriculture. **Increase in Sustainability Awareness** There is a growing awareness among consumers and farmers about sustainability in agriculture across South America. As environmental concerns rise, the agricultural sector is pushing towards sustainable farming practices, which can be greatly enhanced with the application of Artificial Intelligence. Reports indicate that 65% of consumers in Brazil are willing to pay more for sustainably produced food. Moreover, organizations like the International Fund for Agricultural Development are working alongside South American nations to promote sustainable agriculture whereby AI can be utilized to optimize resource use, reduce waste, and enhance eco-friendly farming techniques. This growing trend not only helps protect the environment but also positions AI in agriculture as a crucial component of sustainable development initiatives, thereby driving market demand. **Technological Advancements in AI** Recent advancements in Artificial Intelligence technology are paving the way for innovative applications in the agricultural sector of South America. Technologies such as machine learning, data analytics, and predictive modeling are making significant contributions to precision farming. According to the National Institute of Agricultural Technology in Argentina, the adoption of AI tools has improved crop management efficiency by nearly 25%. Companies like AgroTools are leading the way by developing AI systems that assist farmers in making data-driven decisions, thus fostering smarter agricultural practices. Enhanced access to data analytics and AI-driven insights enables farmers to understand weather patterns, optimize irrigation and maximize yield, emphasizing the important role these advancements play in the South America Applied AI in Agriculture Market. **South America Applied****AI****in Agriculture Market Segment Insights** **Applied****AI****in Agriculture Market Technology Insights** The Technology segment of the South America Applied AI in Agriculture Market is experiencing notable growth driven by the increasing demand for efficiency in agricultural practices. With advancements in technology, Machine Learning has emerged as a pivotal force, enabling farmers to make data-driven decisions by analyzing vast amounts of agricultural data and identifying patterns that can improve yield and resource management. This segment addresses critical aspects such as crop health monitoring, precision agriculture, and yield prediction, significantly enhancing productivity over traditional farming methods. Additionally, Computer Vision technology plays an essential role in automating and improving agricultural processes. It is widely utilized for monitoring crop quality, detecting diseases, and even automating harvesting through image analysis. This technology enhances productivity and enables timely interventions, thereby reducing losses and maximizing harvests, which is vital given the diverse climates and agricultural practices found across South America. Additionally, Predictive Analytics stands out in the Technology sector as a powerful tool for forecasting agricultural trends and weather patterns, allowing farmers to prepare better for changing conditions. By leveraging historical data and real-time information, predictive models provide insights that lead to better planning and risk management. The integration of these technologies in the agricultural sector not only promotes sustainable farming practices but also aids in addressing food security challenges faced in South America, given the growing population and fluctuating climate. The significant impact of these technologies on enhancing operational efficiency and productivity highlights their essential role in the South America Applied AI in Agriculture Market. As farmers increasingly adopt these advanced technologies, there exists a profound opportunity for development and growth within the industry that aligns with regional agricultural policies and sustainability goals. The market for Technology in this sector is expected to thrive, driven by innovation and the urgent need to improve agricultural output while maximizing resource efficiency across South America. Source: Primary Research, Secondary Research, _Market Research Future_ Database and Analyst Review **Applied****AI****in Agriculture Market Offering Insights** The South America Applied AI in Agriculture Market is evolving rapidly, particularly within the Offering segment, which encompasses Software and AI-as-a-Service solutions. These technologies are becoming essential to optimize agricultural practices in South America, a region known for its vast agricultural landscape. With the growing demand for sustainability and efficiency, Software solutions provide farmers advanced tools for precision farming, crop monitoring, and yield forecasting. Meanwhile, AI-as-a-Service allows even smallholder farmers access to sophisticated AI technologies without the need for substantial upfront investments. This democratization of technology is particularly crucial in South America, where agricultural productivity is vital for economic stability. The region's unique challenges, including climate variability and resource management, make the role of Applied AI significant as it helps in mitigating risks and enhancing decision-making processes. The increasing integration of these technologies is a driving force in the South America Applied AI in Agriculture Market, propelling its growth and adoption among diverse agricultural stakeholders. **Applied****AI****in Agriculture Market Application Insights** The South America Applied AI in Agriculture Market has witnessed substantial advancements in its Application segment, notably in fields such as Drone Analytics and Precision Farming. The focus on Drone Analytics has contributed significantly to the transformation of agricultural practices in the region, enabling farmers to efficiently monitor crop health, optimize irrigation, and improve yield predictions through aerial imagery and machine learning technologies. This innovation not only aids in informed decision-making but also enhances resource allocation. Precision Farming, on the other hand, utilizes AI-driven insights to tailor agricultural practices, allowing farmers to apply the right amount of inputs at optimal times, leading to increased productivity and sustainability. This segment is gaining traction as it promotes efficient land use and minimizes waste, aligning with the growing emphasis on sustainability in South America. Furthermore, the region's diverse agricultural landscape is driving the adoption of these technologies, as they address specific local challenges. The integration of AI within these applications is fostering a new era of agricultural efficiency and productivity in South America. Overall, both Drone Analytics and Precision Farming are crucial in shaping the future of agriculture in the region, driven by the need for technological advancements and sustainable practices. **Applied****AI****in Agriculture Market Regional Insights** The South America Applied AI in Agriculture Market has shown considerable growth potential across its regional landscape, particularly with key players in Brazil, Mexico, Argentina, and the Rest of South America. Brazil is a significant contributor to the market, leveraging its vast agricultural land and advanced farming technologies. The integration of Applied AI solutions in Brazil enhances productivity and efficiency, making it a leader in agricultural innovation. Mexico also plays a vital role, manifesting advancements that cater to diverse crop needs, while Argentina adopts Applied AI to improve yields and resource management. The Rest of South America is dynamic, housing emerging markets that are increasingly adopting AI technologies in agriculture, driven by the need for sustainable agricultural practices and food security. Each region faces unique challenges like resource allocation and climatic impacts but stands to gain immensely from the adoption of intelligent solutions, presenting a wealth of opportunities for growth and advancements in the agricultural sector. As such, the South America Applied AI in Agriculture Market segmentation reflects a strong trajectory towards modernization and sustainability through AI technology, which is crucial in meeting the food demands of a growing population in the region. Source: Primary Research, Secondary Research, _Market Research Future_ Database and Analyst Review **South America Applied****AI****in Agriculture Market Key Players and Competitive Insights** The South America Applied AI in Agriculture Market is experiencing significant growth as a result of advancements in technology and an increasing need for sustainable agricultural practices. Various players in this market are leveraging artificial intelligence to optimize farming processes, enhance crop yields, and efficiently manage resources. Competitive insights reveal a landscape that is not only driven by technological innovation but also by strategic collaborations, partnerships, and the integration of AI solutions tailored to the unique agricultural challenges present in South America. This market's dynamics are influenced by a mix of established corporations and emerging startups, each vying for a share in a sector that increasingly emphasizes precision agriculture and data-driven decision-making. **Key Companies in the South America Applied****AI****in Agriculture Market Include** - Solinftec - Corteva Agriscience - Bunge - Taranis - Agrosmart - Syngenta **South America Applied****AI****in Agriculture****Market****Developments** At Agrishow 2025 in Brazil in May 2024, Solinftec exhibited 150 units of its fourth-generation Solix Ag Robotics, which combine AI-powered weed detection, solar-powered mobility, and RTK navigation. During pilot trials of the ALICE AI platform in May 2024, the robots reduced the use of herbicides in grain fields by over 90% and in sugarcane by 45%. With $5.8 million in Series A funding, Agrosmart grew its AI-powered digital farming platform in nine countries throughout 2023, supporting over 100,000 farmers and providing climate modeling, irrigation forecasts, and sustainability monitoring to companies like Cargill and Coca-Cola. Since June 2023, Corteva Agriscience and parent firm Bunge have improved disease predictions, nitrogen management, and yield optimization across commodities operations by using AI and satellite imaging across Brazilian crops via Climate FieldView and internal modeling tools. Beginning in late 2023, Taranis has been implemented in Brazilian corn and soybean fields, using machine learning and high-resolution aerial data to detect pests and provide nutrient insufficiency notifications. From Corteva/Bunge's field analytics and Taranis's aerial diagnostics to Solinftec's AI robotics and Agrosmart's climate intelligence platform, these validated institutional deployments show measurable advancements in the use of AI in South America's agriculture sector since January 2023, driven by regional and international agritech innovators specializing in precision, sustainability, and farm-scale automation. **South America Applied****AI****in Agriculture Market Segmentation Insights** - **Applied AI in Agriculture Market Technology Outlook** - Machine Learning - Computer Vision - Predictive Analytics - **Applied AI in Agriculture Market Offering Outlook** - Software - AI-as-a-Service - **Applied AI in Agriculture Market Application Outlook** - Drone Analytics - Precision Farming - **Applied AI in Agriculture Market Regional Outlook** - Brazil - Mexico - Argentina - Rest of South America ## Market Drivers ### Rising Demand for Food Security The increasing population in South America has led to a heightened demand for food security, which is driving the applied ai-in-agriculture market. As urbanization accelerates, the need for efficient agricultural practices becomes paramount. The applied ai-in-agriculture market is responding by integrating AI technologies that enhance crop yields and optimize resource usage. For instance, AI-driven predictive analytics can forecast crop performance, allowing farmers to make informed decisions. This trend is particularly relevant as food production must increase by an estimated 70% by 2050 to meet global needs. Consequently, the applied ai-in-agriculture market is positioned to play a crucial role in addressing these challenges. ### Climate Change Adaptation Strategies Climate change poses significant challenges to agriculture in South America, necessitating the adoption of innovative solutions. The applied ai-in-agriculture market is emerging as a key player in developing climate adaptation strategies. AI technologies can analyze vast datasets to identify climate patterns and recommend crop varieties that are more resilient to changing conditions. For instance, AI can assist in optimizing irrigation practices, reducing water usage by up to 30%. As farmers seek to mitigate the impacts of climate change, the applied ai-in-agriculture market is likely to see increased demand for AI-driven solutions that enhance sustainability and resilience. ### Advancements in Agricultural Technology Technological advancements are significantly influencing the applied ai-in-agriculture market in South America. Innovations such as machine learning, computer vision, and robotics are being adopted to improve farming efficiency. For example, AI-powered drones are utilized for crop monitoring and soil analysis, providing farmers with real-time data to enhance decision-making. The market for agricultural technology in South America is projected to reach approximately $10 billion by 2026, indicating a robust growth trajectory. This surge in investment reflects the increasing recognition of AI's potential to revolutionize traditional farming practices, thereby propelling the applied ai-in-agriculture market forward. ### Growing Awareness of Sustainable Farming Practices There is a growing awareness of sustainable farming practices among consumers and farmers alike in South America. This trend is influencing the applied ai-in-agriculture market as stakeholders seek to implement environmentally friendly solutions. AI technologies can facilitate sustainable practices by optimizing inputs such as fertilizers and water, thereby minimizing environmental impact. For instance, AI can help reduce fertilizer application by up to 20% without compromising crop yields. As sustainability becomes a priority, the applied ai-in-agriculture market is likely to experience increased adoption of AI solutions that align with these values. ### Investment in Agricultural Research and Development Investment in agricultural research and development is a critical driver for the applied ai-in-agriculture market in South America. Governments and private entities are increasingly funding initiatives aimed at integrating AI into agricultural practices. This investment is essential for developing new technologies that can improve crop management and pest control. For example, research indicates that AI can reduce pesticide usage by up to 50% through targeted applications. As funding continues to flow into the applied ai-in-agriculture market, it is expected that innovative solutions will emerge, further enhancing productivity and sustainability in the agricultural sector. ## Future Outlook The [Applied AI in Agriculture Market](https://www.marketresearchfuture.com/reports/applied-ai-in-agriculture-market-12168) is projected to grow at 4.92% CAGR from 2025 to 2035, driven by technological advancements, increased efficiency, and sustainability initiatives. **New opportunities:** - Development of precision agriculture tools for crop monitoring and yield prediction. - Integration of AI-driven pest management systems to reduce chemical usage. - Creation of data analytics platforms for real-time farm management insights. By 2035, the market is expected to be robust, driven by innovation and strategic investments. ## Segment Insights ### By Technology: Machine Learning (Largest) vs. Computer Vision (Fastest-Growing) In the Technology segment, Machine Learning holds the largest market share, driven by its extensive adoption across various agricultural practices. This segment benefits significantly from the rising demand for data-driven decision-making and automation in farming. Computer Vision, on the other hand, emerges as the fastest-growing value, with increasing investments and advancements in imaging technologies facilitating precise crop monitoring and disease detection. Growth trends for this segment are propelled by the need for efficiency and productivity in agriculture. The expansion of IoT devices and smart farming technologies further enhances the appeal of AI applications in agriculture. Predictive Analytics also plays a pivotal role in revolutionizing farming strategies as farmers seek reliable forecasts for crop yields and weather conditions, adding to the competitive dynamics in the market. Technology: Machine Learning (Dominant) vs. Computer Vision (Emerging) Machine Learning stands as the dominant force in the Technology segment, leveraging algorithms to analyze vast datasets and optimize farming operations. Its ability to learn from data enables farmers to automate crucial processes, making it invaluable for the agricultural industry. Conversely, Computer Vision represents an emerging technology, characterized by its application in image processing and analysis. It enhances monitoring capabilities and helps in identifying crop health issues in real-time. Both segment values are critical, fostering innovation and efficiency yet differing in maturity, with Machine Learning solidifying its foundation while Computer Vision rapidly gains momentum. ### By Offering: Software (Largest) vs. AI-as-a-Service (Fastest-Growing) In the applied ai-in-agriculture market, the Software segment holds a significant share, dominating the landscape due to its wide-ranging applications and established presence among agricultural businesses. In contrast, AI-as-a-Service, while currently smaller, is gaining momentum, appealing to companies looking for scalable solutions without heavy upfront investments in infrastructure. The growth trends for these segments are driven by the increasing adoption of AI technologies to enhance productivity, yield, and sustainability in agriculture. Software solutions, which facilitate data analysis and farm management, continue to see stable growth. Meanwhile, AI-as-a-Service is experiencing a surge, fueled by the need for cost-effective, flexible AI implementations that cater to diverse agricultural needs, thereby making it a key player in market evolution. Software: Dominant vs. AI-as-a-Service: Emerging The Software segment is characterized by its established platforms that provide robust tools for farmers and agribusinesses, from predictive analytics to resource management. Its strong presence stems from continuous innovation and integration with IoT devices, ensuring farmers can maximize efficiency. In contrast, AI-as-a-Service is emerging rapidly, offering accessibility and flexibility in deploying AI-driven solutions without the need for significant capital expenditure. This model allows even small-scale farmers to leverage sophisticated technologies, making it increasingly attractive and fostering broader adoption across the agricultural sector. ### By Application: Drone Analytics (Largest) vs. Precision Farming (Fastest-Growing) In the Application segment, Drone Analytics holds the largest share, leveraging its capabilities in aerial data collection and analysis to enhance farming efficiency. This segment dominates due to the increasing demand for precision tools that provide actionable insights, thus ensuring optimal crop yields and resource management. Precision Farming, while still emerging, shows rapid growth as technologies evolve and farmers seek innovative ways to enhance productivity while minimizing waste. The overall growth trends in this segment are driven by advancements in technology and increasing investments in agricultural innovations. As farmers become more aware of the benefits of AI-powered tools, the adoption rate of Drone Analytics is expected to rise. Meanwhile, Precision Farming is gaining traction as the fastest-growing segment due to its ability to integrate systems that monitor and manage variables affecting crop health and yields in real-time, emphasizing sustainability and data-driven decision-making. Drone Analytics (Dominant) vs. Precision Farming (Emerging) Drone Analytics is characterized by its comprehensive approach to data collection, utilizing unmanned aerial vehicles equipped with advanced sensors to gather vital information on crop health, moisture levels, and field conditions. This dominant segment allows for quick and efficient analysis, enabling farmers to make informed decisions that enhance yield. On the other hand, Precision Farming represents an emerging trend, focusing on the precision application of inputs and technologies tailored to specific agronomic conditions. This segment is characterized by its rising adoption of IoT devices, data analytics, and AI algorithms that optimize resource use and improve overall farming efficiency. Both segments indicate a strong movement towards technology-led agriculture, rewarding those who embrace innovation. ## Regional Market Share Analysis ### Brazil : Leading Innovation and Investment Brazil holds a commanding 60.0% market share in the applied AI-in-agriculture sector, valued at approximately $1.5 billion. Key growth drivers include the increasing adoption of precision agriculture technologies, government incentives for sustainable farming, and a robust agricultural export market. Demand trends show a shift towards data-driven decision-making, supported by favorable regulatory policies that promote innovation and investment in agri-tech infrastructure. ### Mexico : Innovative Solutions for Farmers With a 20.0% market share, Mexico is rapidly emerging as a key player in the applied AI-in-agriculture market, valued at around $500 million. Growth is driven by increasing investment in agri-tech startups and a rising demand for efficient farming solutions. Government initiatives aimed at modernizing agriculture and improving food security are also pivotal. The market is characterized by a growing interest in smart irrigation and crop monitoring technologies. ### Argentina : Harnessing AI for Crop Management Argentina commands a 40.0% market share in the applied AI-in-agriculture sector, valued at approximately $1 billion. The growth is fueled by the country's strong agricultural base and increasing adoption of AI technologies for crop management and yield optimization. Regulatory support for sustainable practices and investment in rural infrastructure are significant factors. Demand for AI-driven solutions is particularly high in soybean and corn production regions. ### Rest of South America : Untapped Potential in Agri-Tech The Rest of South America holds an 8.55% market share in the applied AI-in-agriculture market, valued at about $200 million. This sub-region presents diverse opportunities driven by varying agricultural practices and local needs. Government initiatives to promote technology adoption and improve agricultural productivity are emerging. Key markets include Chile and Colombia, where local players are beginning to invest in AI solutions for crop monitoring and pest management. ## Competitive Benchmarking The applied ai-in-agriculture market in South America is characterized by a dynamic competitive landscape, driven by technological advancements and increasing demand for sustainable agricultural practices. Key players such as Bayer (DE), Corteva Agriscience (US), and John Deere (US) are at the forefront, leveraging innovation and strategic partnerships to enhance their market positions. Bayer (DE) focuses on integrating AI into crop protection solutions, while Corteva Agriscience (US) emphasizes digital farming technologies to optimize yield and resource management. John Deere (US) is enhancing its precision agriculture offerings through AI-driven analytics, collectively shaping a competitive environment that prioritizes technological integration and sustainability.In terms of business tactics, companies are increasingly localizing manufacturing and optimizing supply chains to better serve regional markets. The market structure appears moderately fragmented, with several key players exerting significant influence. This fragmentation allows for diverse strategies, as companies seek to differentiate themselves through localized solutions and tailored offerings that meet the specific needs of South American farmers. In August Bayer (DE) announced a partnership with a local tech startup to develop AI-driven pest management solutions tailored for the South American climate. This collaboration is strategically important as it not only enhances Bayer's product portfolio but also demonstrates a commitment to localized innovation, which is crucial in addressing the unique challenges faced by farmers in the region. In September Corteva Agriscience (US) launched a new digital platform that utilizes AI to provide real-time insights into crop health and soil conditions. This initiative is significant as it positions Corteva as a leader in precision agriculture, enabling farmers to make data-driven decisions that can lead to increased productivity and sustainability. In October John Deere (US) expanded its AI capabilities by acquiring a machine learning firm specializing in agricultural data analytics. This acquisition is likely to enhance John Deere's existing technologies, allowing for more sophisticated predictive analytics that can improve operational efficiency for farmers. Such strategic moves indicate a trend towards deeper integration of AI technologies in agricultural practices. As of November current competitive trends in the applied ai-in-agriculture market include a strong emphasis on digitalization, sustainability, and the integration of AI technologies. Strategic alliances are increasingly shaping the landscape, as companies recognize the value of collaboration in driving innovation. Looking ahead, competitive differentiation is expected to evolve, shifting from traditional price-based competition to a focus on technological innovation, supply chain reliability, and sustainable practices. This transition suggests that companies that prioritize these aspects will likely gain a competitive edge in the rapidly evolving agricultural market. ## Recent News & Developments At Agrishow 2025 in Brazil in May 2024, Solinftec exhibited 150 units of its fourth-generation Solix Ag Robotics, which combine AI-powered weed detection, solar-powered mobility, and RTK navigation. During pilot trials of the ALICE AI platform in May 2024, the robots reduced the use of herbicides in grain fields by over 90% and in sugarcane by 45%. With $5.8 million in Series A funding, Agrosmart grew its AI-powered digital farming platform in nine countries throughout 2023, supporting over 100,000 farmers and providing climate modeling, irrigation forecasts, and sustainability monitoring to companies like Cargill and Coca-Cola. Since June 2023, Corteva Agriscience and parent firm Bunge have improved disease predictions, nitrogen management, and yield optimization across commodities operations by using AI and satellite imaging across Brazilian crops via Climate FieldView and internal modeling tools. Beginning in late 2023, Taranis has been implemented in Brazilian corn and soybean fields, using machine learning and high-resolution aerial data to detect pests and provide nutrient insufficiency notifications. From Corteva/Bunge's field analytics and Taranis's aerial diagnostics to Solinftec's AI robotics and Agrosmart's climate intelligence platform, these validated institutional deployments show measurable advancements in the use of AI in South America's agriculture sector since January 2023, driven by regional and international agritech innovators specializing in precision, sustainability, and farm-scale automation. **South America Applied****AI** ## Report Scope | MARKET SIZE 2024 | 128.55(USD Million) | | --- | --- | | MARKET SIZE 2025 | 134.88(USD Million) | | MARKET SIZE 2035 | 217.95(USD Million) | | COMPOUND ANNUAL GROWTH RATE (CAGR) | 4.92% (2025 - 2035) | | REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends | | BASE YEAR | 2024 | | Market Forecast Period | 2025 - 2035 | | Historical Data | 2019 - 2024 | | Market Forecast Units | USD Million | | Key Companies Profiled | Bayer (DE), Corteva Agriscience (US), Syngenta (CH), John Deere (US), AG Leader Technology (US), Trimble (US), Taranis (IL), Farmers Edge (CA), Aker Solutions (NO) | | Segments Covered | Technology, Offering, Application | | Key Market Opportunities | Integration of precision agriculture technologies enhances yield and sustainability in the applied ai-in-agriculture market. | | Key Market Dynamics | Rising adoption of precision agriculture technologies drives efficiency and sustainability in South America's applied AI-in-agriculture market. | | Countries Covered | Brazil, Mexico, Argentina, Rest of South America | ## Frequently Asked Questions **Q: What is the projected market valuation for the applied ai-in-agriculture market in 2035?** A: The projected valuation for the applied ai-in-agriculture market in 2035 is $217.95 Million. **Q: What was the overall market valuation in 2024?** A: The overall market valuation was $128.55 Million in 2024. **Q: What is the expected CAGR for the applied ai-in-agriculture market during 2025 - 2035?** A: The expected CAGR for the applied ai-in-agriculture market during 2025 - 2035 is 4.92%. **Q: Which technology segment had the highest valuation in 2024?** A: In 2024, the Machine Learning segment had the highest valuation at $51.42 Million. **Q: What are the projected valuations for the Software segment by 2035?** A: The projected valuation for the Software segment is expected to reach $140.0 Million by 2035. **Q: Which company is a key player in the applied ai-in-agriculture market?** A: Bayer is one of the key players in the applied ai-in-agriculture market. **Q: What is the valuation range for Drone Analytics in 2024?** A: The valuation range for Drone Analytics in 2024 was between $40.0 Million and $70.0 Million. **Q: How much is the Precision Farming application expected to be valued by 2035?** A: The Precision Farming application is expected to be valued at $147.95 Million by 2035. **Q: What is the valuation for AI-as-a-Service in 2024?** A: The valuation for AI-as-a-Service in 2024 was $48.55 Million. **Q: Which segment is projected to grow the most in the applied ai-in-agriculture market?** A: The Precision Farming segment is projected to grow significantly, reaching $147.95 Million by 2035. --- *This Markdown endpoint is provided for AI systems and LLM crawlers. For the full interactive report visit https://www.marketresearchfuture.com/reports/south-america-applied-ai-in-agriculture-market-62285*